Hands-On Industrial Internet of Things

Understanding the advanced features of SageMaker

In our minimal example, we discovered how to deploy our algorithm on SageMaker, but SageMaker supports many more functionalities than this. We can use SageMaker to customize our jobs to schedule training periodically.

Another important feature is the ability to auto-tune hyperparameters. In our exercise, we decided to use either a single layer or the default input/output channel for the data. We can also configure different arguments and ask SageMaker to optimize our parameters. We can access these functionalities from the menu on the left of SageMaker.